Updated ecosystem list

patrick-kidger · Apr 20, 2024 · a386f27 · a386f27
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diff --git a/README.md b/README.md
@@ -81,28 +81,21 @@ If you found this library to be useful in academic work, then please cite: ([arX
 
 ## See also: other libraries in the JAX ecosystem
 
-[jaxtyping](https://github.com/google/jaxtyping): type annotations for shape/dtype of arrays.
-
-[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.
-
-[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.
-
-[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.
-
-[Lineax](https://github.com/google/lineax): linear solvers.
-
-[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.
-
-[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).
-
-[sympy2jax](https://github.com/google/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.
-
-[Eqxvision](https://github.com/paganpasta/eqxvision): computer vision models.
-
-[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
-
-[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)
-
-## Disclaimer
-
-Equinox is maintained by Patrick Kidger at Google X, but this is not an official Google product.
+**Always useful**  
+[jaxtyping](https://github.com/patrick-kidger/jaxtyping): type annotations for shape/dtype of arrays.  
+
+**Deep learning**  
+[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.  
+[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).  
+[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).  
+
+**Scientific computing**  
+[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.  
+[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.  
+[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.  
+[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.  
+[sympy2jax](https://github.com/patrick-kidger/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.  
+[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)  
+
+**Awesome JAX**  
+[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.  
diff --git a/docs/index.md b/docs/index.md
@@ -70,16 +70,21 @@ If this quick start has got you interested, then have a read of [All of Equinox]
 
 ## See also: other libraries in the JAX ecosystem
 
-[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.
-
-[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.
-
-[Lineax](https://github.com/google/lineax): linear solvers and linear least squares.
-
-[jaxtyping](https://github.com/google/jaxtyping): type annotations for shape/dtype of arrays.
-
-[Eqxvision](https://github.com/paganpasta/eqxvision): computer vision models.
-
-[sympy2jax](https://github.com/google/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.
-
-[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
+**Always useful**  
+[jaxtyping](https://github.com/patrick-kidger/jaxtyping): type annotations for shape/dtype of arrays.  
+
+**Deep learning**  
+[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.  
+[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).  
+[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).  
+
+**Scientific computing**  
+[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.  
+[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.  
+[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.  
+[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.  
+[sympy2jax](https://github.com/patrick-kidger/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.  
+[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)  
+
+**Awesome JAX**  
+[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.